Efficient Logistics Path Optimization and Scheduling Using Deep Reinforcement Learning and Convolutional Neural Networks

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Bibliográfalaš dieđut
Publikašuvnnas:	Informatica vol. 49, no. 16 (Mar 2025), p. 151-171
Váldodahkki:	Yang, Yan
Eará dahkkit:	Wang, Kang
Almmustuhtton:	Slovenian Society Informatika / Slovensko drustvo Informatika
Fáttát:	Urban environments Deep learning Success Traffic Suburban areas Artificial neural networks Machine learning Electronic commerce Heuristic methods Efficiency Mathematical programming Scheduling Datasets Geography Genetic algorithms Shortest-path problems Artificial intelligence Planning Neural networks Decision making Optimization Supply chains Linear programming Logistics Completion time Traveling salesman problem Optimization algorithms
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